This Python script checks the validity of a list of proxy servers using multithreading. It utilizes the requests library to make HTTP requests through each proxy server and checks if the request to "http://ipinfo.io/json" is successful (status code 200). If it's successful, the proxy server is considered valid, and its details are printed.
import threading
import queue
import requests
# Create a queue to hold proxy server addresses
q = queue.Queue()
# List to store valid proxy servers
valid_proxies = []
# Read proxy server addresses from a file and add them to the queue
with open("checkvalid_proxies.txt", "r") as f:
proxies = f.read().split("\n")
for p in proxies:
q.put(p)
# Function to check the validity of proxy servers
def check_proxies():
global q
while not q.empty():
proxy = q.get()
try:
# Make an HTTP request using the proxy server
res = requests.get("http://ipinfo.io/json",
proxies={"http": proxy,
"https": proxy})
except:
# Continue to the next proxy if an exception occurs
continue
if res.status_code == 200:
# If the request is successful, print the valid proxy
print(proxy)
# Create 10 threads to concurrently check proxy servers
for _ in range(10):
threading.Thread(target=check_proxies).start()-
The script reads a list of proxy server addresses from a file called "checkvalid_proxies.txt" and adds them to a queue for processing.
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The check_proxies function is defined to check the validity of proxy servers. It continuously dequeues proxy addresses from the queue and attempts to make an HTTP request to "http://ipinfo.io/json" using each proxy.
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If the request is successful (status code 200), it means the proxy server is valid, and its address is printed.
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The script creates 10 threads to run the check_proxies function concurrently, allowing for faster validation of proxy servers.
This script can be useful for checking the health and validity of a large number of proxy servers in parallel.